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A System for Computing Conceptual Pathways in Bio-medical Text Models

  • Troels Andreasen
  • Henrik Bulskov
  • Jørgen Fischer Nilsson
  • Per Anker Jensen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8502)

Abstract

This paper describes the key principles in a system for querying and conceptual path finding in a logic-based knowledge base. The knowledge base is extracted from textual descriptions in bio-, pharma- and medical areas. The knowledge base applies natural logic, that is, a variable-free term-algebraic form of predicate logic. Natural logics are distinguished by coming close to natural language so that propositions are readable by domain experts. The natural logic knowledge base is accompanied by an internal graph representation, where the nodes represent simple concept terms as well as compound concepts stemming from entire phrases. Path finding between concepts is facilitated by a labelled graph form that represents the knowledge base as well as the ontological information.

Keywords

Semantic text processing in bio-informatics and medicine natural logic knowledge bases in bio-informatics generative ontologies path-finding in graph knowledge bases 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Troels Andreasen
    • 1
  • Henrik Bulskov
    • 1
  • Jørgen Fischer Nilsson
    • 2
  • Per Anker Jensen
    • 3
  1. 1.Computer ScienceRoskilde UniversityDenmark
  2. 2.Mathematics and Computer ScienceTechnical University of DenmarkDenmark
  3. 3.International Business CommunicationCopenhagen Business SchoolDenmark

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